Brain age predicts mortality

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Title: Brain age predicts mortality
Author(s): Cole, JH
Ritchie, SJ
Bastin, ME
Valdes Hernandez, MC
Munoz Maniega, S
Royle, N
Corely, J
Pattie, A
Harris, SE
Zhang, Q
Wray, N
Redmond, P
Marioni, RE
Starr, JM
Cox, SR
Wardlaw, JM
Sharp, DJ
Deary, IJ
Item Type: Journal Article
Abstract: Age-associated disease and disability are placing a growing burden on society. However, ageing does not affect people uniformly. Hence, markers of the underlying biological ageing process are needed to help identify people at increased risk of age-associated physical and cognitive impairments and ultimately, death. Here, we present such a biomarker, ‘brain-predicted age’, derived using structural neuroimaging. Brain-predicted age was calculated using machine-learning analysis, trained on neuroimaging data from a large healthy reference sample (N = 2001), then tested in the Lothian Birth Cohort 1936 (N = 669), to determine relationships with age-associated functional measures and mortality. Having a brain-predicted age indicative of an older-appearing brain was associated with: weaker grip strength, poorer lung function, slower walking speed, lower fluid intelligence, higher allostatic load and increased mortality risk. Furthermore, while combining brain-predicted age with grey matter and cerebrospinal fluid volumes (themselves strong predictors) not did improve mortality risk prediction, the combination of brain-predicted age and DNA-methylation-predicted age did. This indicates that neuroimaging and epigenetics measures of ageing can provide complementary data regarding health outcomes. Our study introduces a clinically-relevant neuroimaging ageing biomarker and demonstrates that combining distinct measurements of biological ageing further helps to determine risk of age-related deterioration and death.
Publication Date: 25-Apr-2017
Date of Acceptance: 17-Feb-2017
ISSN: 1476-5578
Publisher: Nature Publishing Group
Journal / Book Title: Molecular Psychiatry
Copyright Statement: This paper is embargoed until publication. Once published will be available fully open access.
Sponsor/Funder: Commission of the European Communities
National Institute for Health Research
Funder's Grant Number: 305522
Keywords: Psychiatry
11 Medical And Health Sciences
06 Biological Sciences
17 Psychology And Cognitive Sciences
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Department of Medicine
Faculty of Medicine

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